Job Description

About us

The Centre for Machine Vision (CMV) is seeking to appoint a Research Associate to focus on applications of computer vision and machine learning.

The CMV is in the School of Engineering, and is located within the Bristol Robotics Laboratory (BRL - ), a joint venture between UWE and Bristol University.

The CMV is currently comprised of 15 researchers, 11 PhD students and four visiting academics and attracts funding from a range of bodies that include BBSRC, EPSRC and InnovateUK. We also undertake research funded by medical charities, as well as commercial consultancy work for various companies. The CMV specialises in real-world applications of computer vision and machine learning for the realisation of working prototypes and demonstrators, with a strong emphasis on data capture, modelling and analysis. Previous applications include agriculture (animal and plant monitoring), medicine (vision systems for patient diagnosis/analysis and human-computer interaction) and biometrics (human and animal biometric face recognition and emotion detection).

The work of the CMV team was graded to be of international standing in the 2021 REF, with 81 percent of its work considered world-leading/internationally excellent in terms of originality, significance and rigour.

About you

Successful applicants will have expertise in computer science or a related field. A bachelors or masters degree in a relevant area is essential. Candidates with experience of computer vision and/or machine learning are particularly encouraged to apply.

The appointed researcher will mainly work on two projects: In-depth machine vision/deep learning analysis of pig images, for development of a system for monitoring pig condition and health, and Innovative machine vision solutions for automotive camera/systems calibration. The role may also involve working on the following project: Pig ID: Developing a deep learning machine vision system to track pigs using individual biometrics.

There will also be opportunity for input on other projects, including human-computer interaction, healthy aging, and eye saccade analysis for detection and monitoring of dementia; that will depend on the progress on the existing projects and the priorities associated with these projects. All our projects focus on computer vision and machine learning applications that may include object detection and tracking, face analysis, data augmentation, object pose estimation, deep CNNs / reinforcement learning, RNNs and GANs.

You will also work closely with CMV colleagues to network with new external partners to develop new funded projects. Funding is available for making visits to the collaborating research groups and there will also be the opportunity to attend international conferences.

You will be expected to contribute to teaching, for example, introductory courses in machine vision and deep learning, and in the supervision of undergraduate and masters project students.

Why UWE Bristol?

We are one of the largest providers of Higher Education in the South West with 32,000 students, 250,000 alumni and 4,000 staff from across the globe. We are both globally connected and regionally embedded, with a strong network of employer and partner connections.

We have a lot to be proud of at UWE, our include scoring above sector average for student satisfaction, we are ranked 24th in and 39th in the latest Times Higher Education \'

We are an ambitious and university. We\'re focused on solving future global challenges through outstanding learning, world-leading research and a culture of enterprise and we are looking for people who share our core values to help us achieve those aims.

With inclusivity as a core value, UWE Bristol recognises the power of a . We support and celebrate the diversity of our staff and students as a key driver for innovation and success, promoting pathways and achievements to inspire and generate confidence and ambition.

This post is based at our lively campus where we have invested in the latest facilities and resources to give both our staff and students access to everything they need to succeed \xe2\x80\x93 with \xc2\xa3300m having been invested recently on new state-of-the-art learning spaces and accommodation to enhance our offer even further.

In addition to progressive pay rates, we offer a wide range of including:

• a generous holiday allowance of 35 days (pro rata if part time)
• up to 12.5 bank holiday/closure days per year
• excellent defined benefit pension schemes
• access to employee assistance programme
• ongoing learning and development opportunities
• family friendly policies and wellbeing initiatives
• onsite

at our Frenchay Campus. * Retail savings via the Wider Wallet scheme

• option to participate in the cycle to work scheme

We also offer a wide variety of in-house training courses and development programmes and provide a tailored professional programme to support our academic colleagues in delivering the highest in professional teaching standards.

Add your individuality to ours

Proud to be part of a vibrant, multicultural city that celebrates diversity, we\xe2\x80\x99re always on the lookout for talented people from all backgrounds to join us. Our people are our strength, and diversity enhances our creativity and leads to better decision-making and problem-solving. Bring your talent and ambition to our growing staff community of over 4,000 individuals and find yourself in a stimulating and supportive environment where you\xe2\x80\x99ll thrive. Add your individuality to ours to help set us apart.

We particularly encourage applications from Black, Asian, Multiple Heritage or Other Minority Ethnic and female candidates as we are currently under-represented in these areas within UWE Bristol however all appointments are made strictly on individual merit.

Further information

If you would like an informal discussion, please contact Professor Lyndon Smith on 0117 3282009, email: or Dr Wenhao Zhang 0117 3286806 Email: .

This is a fixed-term post until 30th September 2026, and is full-time working on a 100 percent contract. This post is not available on a job share basis.

We are able to sponsor qualifying candidates for this role under the Home Office Skilled Worker visa route. Please read our to assess if you will be eligible to be sponsored under the criteria.

Please also refer to the which provides details of which documents are acceptable to prove your right to work in the UK. Should you be shortlisted you will be asked to produce your right to work documents at your interview.

Please note that UWE does not cover any visa or health surcharge costs.

University of the West of England